1 Ocak 2023 Dergi makalesi Açık Erişim

Gul, Merve Nur; Yazar, Ozan; Coskun, Serdar; Zhang, Fengqi; Li, Lin; Kaya, Irem Ersoz

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    "creators": [
      {
        "affiliation": "Tarsus Univ, Fac Engn, Dept Mech Engn, TR-33400 Tarsus, Mersin, Turkiye", 
        "name": "Gul, Merve Nur"
      }, 
      {
        "name": "Yazar, Ozan"
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      {
        "affiliation": "Tarsus Univ, Fac Engn, Dept Mech Engn, TR-33400 Tarsus, Mersin, Turkiye", 
        "name": "Coskun, Serdar"
      }, 
      {
        "affiliation": "Xian Univ Technol, Sch Mech & Precis Instrument Engn, Xian 710048, Peoples R China", 
        "name": "Zhang, Fengqi"
      }, 
      {
        "affiliation": "Northeast Forestry Univ, Sch Traff & Transportat, Harbin 150040, Peoples R China", 
        "name": "Li, Lin"
      }, 
      {
        "affiliation": "Tarsus Univ, Fac Engn, Dept Comp Engn, TR-33400 Tarsus, Mersin, Turkiye", 
        "name": "Kaya, Irem Ersoz"
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    "description": "<p>Purpose: The underlying research goal of this article is to put forward a reliable fuel saving performance based on the forecasted velocities of drive cycles for a power-split hybrid electric vehicle. Theory and Methods: The power distribution between energy sources is devised by utilizing the P-ECMS for the power-split hybrid electric vehicle using the uncertain drive cycle velocity estimation based on MC algorithm. Results: The effectiveness and accuracy of the method are evaluated under seven drive cycles. The MC provides good prediction results of the velocities. On the basis of it, the P-ECMS method decreases fuel consumption up to 6.01% under NEDC, up to 9.09% under WLTP, up to 6.33% under UDDS, up to 5.14% under HWFET, up to 1.96% under NYCC, up to 11.47% under LA-92, and up to 7.92% under ALL-CYC compared to a standard ECMS method. Conclusion: It is seen from the analysis results that battery SOC decreases slightly using the P-ECMS since the electric motor is actively used to meet power demand instead of the engine over the predicted speed profiles. In the end, the MC algorithm-based P-ECMS strategy can verify the optimal power distribution based on fuel-saving potentials as compared to the baseline ECMS strategy while keeping the battery SOC at a reasonable interval.</p>", 
    "doi": "10.17341/gazimmfd.1040940", 
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    "journal": {
      "issue": "3", 
      "pages": "16", 
      "title": "JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY", 
      "volume": "38"
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    "publication_date": "2023-01-01", 
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      "title": "Dergi makalesi", 
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    "science_branches": [
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    "title": "Predictive equivalent consumption minimization strategy for power-split hybrid electric vehicles using Monte Carlo algorithm"
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